CONFERENCES

Preconference Workshops: STFM Annual Spring Conference

STFM offers preconference workshops for attendees of the 2026 STFM Annual Spring Conference. Workshops will be Saturday, May 2, 2026 at the Marriot New Orleans Hotel in New Orleans, LA.

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Information About Preconference Workshops

PR1: Faculty for Tomorrow Workshop for Residents

When: Saturday, May 2, 8 am–5 pmWhere: Marriot New OrleansCost: $50 (includes refreshments, training materials, and CME); lunch is not includedAttendance Limit: 100This full-day preconference workshop, presented by the STFM Graduate Medical Education Committee, is for residents and fellows who are interested in careers in academic family medicine. The workshop will include inspiring stories from academic family medicine leaders, sessions on key teaching and academic skills, an interactive leadership training session, and a session on the nuts and bolts of academic career tracks and promotion. Get the knowledge and skills you need to succeed and thrive as new faculty. A diverse group of faculty will give behind-the-scenes insights into academic roles in sessions like "What You Might Not Know about Careers in Academic Medicine", targeted discussion on "Giving Feedback", "Finding Your Job in Academia", and "Success as a New Faculty Member". You will also learn how to lead change in every setting in "The Physician as Leader".Registration for the workshop is available through the STFM Annual Spring Conference registration page.

PR2: Generative AI Bootcamp for Family Medicine Clinician Educators, Scholars, and Learners

When: Saturday, May 2, 1–5 pmWhere: Marriot New OrleansCost: $150 (includes refreshments, training materials, and CME); lunch is not includedAttendance Limit: 150Artificial intelligence (AI) is increasingly influencing health care and education, yet many family medicine educators, clinicians, and scholars feel uncertain about how to apply these tools in practice. This workshop offers a practical, learner-centered approach to understanding and using AI/ML, with content tailored for participants at all levels of experience. The session begins with an overview of AI/ML fundamentals and emerging applications in family medicine, followed by a hands-on prompt engineering workshop and case-based exercises that illustrate real-world uses of varying complexity. Interactive discussions will explore both opportunities and challenges, including bias, transparency, and responsible integration. By the end of the session, participants will be able to explain core AI/ML concepts, including generative AI and large language models (LLMs), apply effective prompt engineering strategies, and identify approaches for integrating these tools into clinical, educational, and scholarly work. Attendees will leave with practical skills, insights, and a growing network of peers committed to advancing the thoughtful adoption of AI in family medicine. All backgrounds are welcome, and no prior experience is required.Registration for the workshop is available through the STFM Annual Spring Conference registration page.

PR3: Building a Curriculum in Transgender Health for Family Medicine Residents: Everything You Need to Know

When: Saturday, May 2, 1–5 pmWhere: Marriot New OrleansCost: $150 (includes refreshments, training materials, and CME); lunch is not includedAttendance Limit: 100Many Transgender, Non-Binary and Gender Diverse (TGD) individuals experience adverse health outcomes and lack access to needed medical care, partially due to a lack of providers with experience in TGD care. Most education on TGD care occurs during brief sessions in medical school; training in the care of TGD patients remains limited in primary care residencies. Family Medicine Residency Program Directors cite lack of available curriculum, faculty expertise, and adequate numbers of transgender patients as barriers to teaching about transgender care. This workshop will address each of these barriers. Presenters from a wide range of FM residencies will share about their curricula, including components of a TGD care curriculum for basic training and advanced training, resources for accessing adaptable didactics, models for clinical training, creating LGBTQIA+ friendly spaces and workflows, and best practices to support TGD residents and faculty. Participants will work in facilitated small groups to focus on actionable next steps and leave with a toolkit of resources to help participants implement or improve their TGD curriculum. Participants will also have the opportunity to expand their own knowledge of TGD care topics.Registration for the workshop is available through the STFM Annual Spring Conference registration page.

Questions?

If you have questions about this conference, contact Kim Sevedge at (800) 274-7928 or the email link below.

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Tips for Using STFM's AI Assistant

STFM's AI Assistant is designed to help you find information and answers about Family Medicine education. While it's a powerful tool, getting the best results depends on how you phrase your questions. Here's how to make the most of your interactions:

1. Avoid Ambiguous Language

Be Clear and Specific: Use precise terms and avoid vague words like "it" or "that" without clear references.

Example:

Instead of: "Can you help me with that?"
Try: "Can you help me update our Family Medicine clerkship curriculum?"
Why this is important: Ambiguous language can confuse the AI, leading to irrelevant or unclear responses. Clear references help the chatbot understand exactly what you're asking.

2. Use Specific Terms

Identify the Subject Clearly: Clearly state the subject or area you need information about.

Example:

Instead of: "What resources does STFM provide?"
Try: "I'm a new program coordinator for a Family Medicine clerkship. What STFM resources are available to help me design or update clerkship curricula?"
Why this is better: Providing details about your role ("program coordinator") and your goal ("design or update clerkship curricula") gives the chatbot enough context to offer more targeted information.

3. Don't Assume the AI Knows Everything

Provide Necessary Details:The STFM AI Assistant has been trained on STFM's business and resources. The AI can only use the information you provide or that it has been trained on.

Example:

Instead of: "How can I improve my program?"
Try: "As a program coordinator for a Family Medicine clerkship, what resources does STFM provide to help me improve student engagement and learning outcomes?"
Why this is important: Including relevant details helps the AI understand your specific situation, leading to more accurate and useful responses.

4. Reset if You Change Topics

Clear Chat History When Switching Topics:

If you move to a completely new topic and the chatbot doesn't recognize the change, click the Clear Chat History button and restate your question.
Note: Clearing your chat history removes all previous context from the chatbot's memory.
Why this is important: Resetting ensures the AI does not carry over irrelevant information, which could lead to confusion or inaccurate answers.

5. Provide Enough Context

Include Background Information: The more context you provide, the better the chatbot can understand and respond to your question.

Example:

Instead of: "What are the best practices?"
Try: "In the context of Family Medicine education, what are the best practices for integrating clinical simulations into the curriculum?"
Why this is important: Specific goals, constraints, or preferences allow the AI to tailor its responses to your unique needs.

6. Ask One Question at a Time

Break Down Complex Queries: If you have multiple questions, ask them separately.

Example:

Instead of: "What are the requirements for faculty development, how do I register for conferences, and what grants are available?"
Try: Start with "What are the faculty development requirements for Family Medicine educators?" Then follow up with your other questions after receiving the response.
Why this is important: This approach ensures each question gets full attention and a complete answer.

Examples of Good vs. Bad Prompts

Bad Prompt

"What type of membership is best for me?"

Why it's bad: The AI Chat Assistant has no information about your background or needs.

Good Prompt

"I'm the chair of the Department of Family Medicine at a major university, and I plan to retire next year. I'd like to stay involved with Family Medicine education. What type of membership is best for me?"

Why it's good: The AI Chat Assistant knows your role, your future plans, and your interest in staying involved, enabling it to provide more relevant advice.

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